Frequency restoration reserves

provision and activation using a multi-agent demand control system

Reinhilde D'Hulst, Jef Verbeeck, Chris Caerts, Mazheruddin Hussain Syed, Ammar Samir Abd Elazim Zaher, Graeme Burt

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

6 Citations (Scopus)
178 Downloads (Pure)

Abstract

In this work a control system for restoration reserve providers is proposed in which optimal biddings of restoration reserve capacity are made based on the predicted flexibility of the reserve resources within the portfolio of the reserve provider. I t is assumed that the gate closure time for submitting reserve capacit y bids is 1 hour before activation time. The reserve capacity bids need to be formed so that activation of the capacity is always feasible, irrespective of the consumption of the portfolio before an activation request. The determination of the optimal reserve capacity bids is only based on aggregated flexibility constraint information received by the individual flexible resources within the portfolio of the reserve provider. No further resource-spe cific information is used to determine the optimal reserve capacity bid. The activation and dispatch of the required power consumption at real time is done through a market-based multi-agent control system. A simulation example, in which the reserve capacity of a portfolio of batteries is simulated, proves the feasibility of the proposed approach and shows that a high precision of the portfolio response can be obtained.
Original languageEnglish
Title of host publication2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST)
PublisherIEEE
Pages601-605
Number of pages5
ISBN (Print)978-1-4799-7736-9
DOIs
Publication statusPublished - Sep 2015

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Restoration
Chemical activation
Control systems
Electric power utilization

Keywords

  • restoration reserve
  • control systems
  • reserve capacity
  • power consumption

Cite this

D'Hulst, R., Verbeeck, J., Caerts, C., Syed, M. H., Zaher, A. S. A. E., & Burt, G. (2015). Frequency restoration reserves: provision and activation using a multi-agent demand control system. In 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST) (pp. 601-605). IEEE. https://doi.org/10.1109/SEDST.2015.7315278
D'Hulst, Reinhilde ; Verbeeck, Jef ; Caerts, Chris ; Syed, Mazheruddin Hussain ; Zaher, Ammar Samir Abd Elazim ; Burt, Graeme. / Frequency restoration reserves : provision and activation using a multi-agent demand control system. 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST). IEEE, 2015. pp. 601-605
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D'Hulst, R, Verbeeck, J, Caerts, C, Syed, MH, Zaher, ASAE & Burt, G 2015, Frequency restoration reserves: provision and activation using a multi-agent demand control system. in 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST). IEEE, pp. 601-605. https://doi.org/10.1109/SEDST.2015.7315278

Frequency restoration reserves : provision and activation using a multi-agent demand control system. / D'Hulst, Reinhilde; Verbeeck, Jef; Caerts, Chris; Syed, Mazheruddin Hussain; Zaher, Ammar Samir Abd Elazim; Burt, Graeme.

2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST). IEEE, 2015. p. 601-605.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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AU - Burt, Graeme

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N2 - In this work a control system for restoration reserve providers is proposed in which optimal biddings of restoration reserve capacity are made based on the predicted flexibility of the reserve resources within the portfolio of the reserve provider. I t is assumed that the gate closure time for submitting reserve capacit y bids is 1 hour before activation time. The reserve capacity bids need to be formed so that activation of the capacity is always feasible, irrespective of the consumption of the portfolio before an activation request. The determination of the optimal reserve capacity bids is only based on aggregated flexibility constraint information received by the individual flexible resources within the portfolio of the reserve provider. No further resource-spe cific information is used to determine the optimal reserve capacity bid. The activation and dispatch of the required power consumption at real time is done through a market-based multi-agent control system. A simulation example, in which the reserve capacity of a portfolio of batteries is simulated, proves the feasibility of the proposed approach and shows that a high precision of the portfolio response can be obtained.

AB - In this work a control system for restoration reserve providers is proposed in which optimal biddings of restoration reserve capacity are made based on the predicted flexibility of the reserve resources within the portfolio of the reserve provider. I t is assumed that the gate closure time for submitting reserve capacit y bids is 1 hour before activation time. The reserve capacity bids need to be formed so that activation of the capacity is always feasible, irrespective of the consumption of the portfolio before an activation request. The determination of the optimal reserve capacity bids is only based on aggregated flexibility constraint information received by the individual flexible resources within the portfolio of the reserve provider. No further resource-spe cific information is used to determine the optimal reserve capacity bid. The activation and dispatch of the required power consumption at real time is done through a market-based multi-agent control system. A simulation example, in which the reserve capacity of a portfolio of batteries is simulated, proves the feasibility of the proposed approach and shows that a high precision of the portfolio response can be obtained.

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D'Hulst R, Verbeeck J, Caerts C, Syed MH, Zaher ASAE, Burt G. Frequency restoration reserves: provision and activation using a multi-agent demand control system. In 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST). IEEE. 2015. p. 601-605 https://doi.org/10.1109/SEDST.2015.7315278